
《2007年国际信息融合研讨会论文集》是2007年8月1日来自西安交通大学出版社出版360百科的图书,作者是李晓榕、韩崇昭。本书以英文版的形式图文并茂的价凯背也末造担地京介绍了2007年国际信息融合研讨会论文集等。
- 书名 2007年国际信息融合研讨会论文集
- 作者 李晓榕、韩崇昭
- ISBN 9787560525099
- 页数 489页
- 出版社 西安交通大学出版社
内容简介
留急鲁 《2007年国来自际信息融合研讨会论文集(英文版)》主要内容:2007年国际信息融合研讨会(ICIF 2007)在中国历史名城西安举行,这是第一次在中国举行国际信息融合会议。来自世界五大洲的专家将参加ICIF 2007,交流和探讨在信息融合及应用领域最新的进展。西安的会议将呈现大会特邀报告,讨论会及参观等丰富内容,《2007年国际信息融合研讨会论文集(英文版)》在此基础精选了众多优秀论文编辑而成。
目录
Plenary Talk
Generic Sensor Fusion Problem:Theory and Applications
Principles of Image Fusion
Optimal Linear Estimation Fus六统川重到李ion
Bayesian Tracking and Data Fusion:An Overview with Examples
Mathematical Theory-Some Progresses and Chall含环呼零学规迫概座片enges in Information Fusion
Environment Perception and Target Recognition Based on Multi-source Hetero位定才热世geneous Information Fusion
Generalized Probabilistic Data Association
Filtering,Estimation Theory and Ap盐侵plications
Sta乡它波帝名降季章互再te Estimation with Quantized Measurements:Multiple Model Approach
On multi-360百科Bernoulli approximations to the Bayes multi-target filter
Airborne Plume Localization and Tracking
Comparison of 图告阻语带落Single-point and Two-point Difference Tra形ck Initiation Algorithms using Positio谈草弱略血源个增n Measurements
A New Algorithm for Synchronous Sensor Bia销见s Estimation in Nonlinear Multi-Sensor Multi-Target Systems
Clutter-based tes迅双缺t statistics for automatic track initiation
Polynomial Estimator最概相识余能验住没绍见s as Target 散又Tracking Filters
On Sensing Capacity o升评画种挥不据司f Sensor Network但养社数盾常断持员源阶s for Localizing Sparse Plumes
DSmT-based Generalized Fusion Machine 手被for Information Fusion in Robot Map Building
Multisensor Information F销将话usion W11ite Noise Deconvolution Estimat稳州升鲁开ors
The Study on Satisfactory Biased Estimator of Discrete System
Gaussian Sum Filtering Based on Uniformly Random Design with Application to Terrain Navigation
Multisensor information fusion Wiener State estimators for descriptor systems
The square root sigma points Kalman filter based IMM algorithm for maneuvering target passive tracking
Strong Tracking Filter with application to bearings-only passive maneuvering target tracking
Modified polar coordinate sampling particle filter for passive localization of moving emitter
Research of Information Fusion Evaluation Methodology Based on Rough Set Theory
Modeling and Estimation to Semi-ballistic Reentry Vehicle Motion
Distributed Robust H Filter Design for a Bandwidth Constrained Sensor Network
Esimation Approaches for Average Link Travel Time Using Multi-soruce Data
HeshengZhang,YiZhang,andDongchengHu
Steady-State Solution for a Three-state Kalman Filter Using Range,Range Rate and Range Acceleration Measurements
Terrain Aided Navigation Based on SPKF
DSS-SAR-GMTI based on the uneven background
Divided Difference Filter Approach for Integrated Navigation
Information Fusion Technique and Its Application to Modeling for Fermentation Processes
Combined Terrain Aided Navigation based on Correlation Method and Parallel Kalman Filters
Target Tracking and Estimation Fusion
Why Are More Sensors Better in Estimation Fusion7
An Adaptive OTHR Multipath Track Fusion Algorithm
A Clustering Algorithm for Multitarget State Extraction Based on Probability Hypotheses Density
Self-tuning Measurement Fusion Kalman Predictor
IMM algorithm for a 3D high maneuvering target tracking
A Recursive Algorithm for Bearing Only Tracking with Signal Retardation Effect
3D Asynchronous、Sensor Bias Compensation
The auilding of Battlefield Surveillance System Based on Meteoric Trail Communication
A Practical Approach to Designing Observer Trajectories for Passive Beatings-Only Target Localization
Weighted Me:asurement Fusion Kalman Filter with Correlated Measurement Noises and Its Global Optimality
Spectrum Pairing Based on Track Correlation for STLFMCW Radar
Airborne Passive Measurements Based on Angular and Infrared Radiant Information
An Augmented State Target Tracking Algorithm with the Existence of Systematic Errors
An Applied MK-NN Algorithm for Multisensor Track Correlation
Multipam Interacting Probabilistic Data Association for Over-the-Horizon Radar
Pattern Recognition and Image Fusion
Two Statistical Filters for Detecting Changes in Color Images
Information Fusion Using Evidence Theory for Segmentation of Medical Images
Dynamic Target Recognition Study Using the Support Vector Machine and Expert Knowledge
Face Recognition Using Different Classifier Fusion Approaches
Image Detection of Roundness Error
Research on Similarity Classifier Based on Multivariate Graph Characteristic Enhancement Techniques
A General Study on Quality Evaluation Methods for Pixel-level Image Fusion
A New Fast Motion Estimation Algorithm
Color-Based Object Tracking Using a Hybrid Particle Filter
Using Similarity to Classify Ovarian Cancer Samples Based on SELDI-TOF MS
Data Binaryzatio
Multi-focus Image Fusion Using Watershed Region Segmentation and Morphological Wavelet Transform
Aircraft Combat Maneuver Recognition Using Discrete Hidden Mavkov Model
Spatially Selective Noise Filtration Based on Wavelet Transform Using in SEMG De-noising
Evaluation for Neckline's Performance ofthe Knitted Sweater Based on Self-organizing Ne啪l Network
Image Encryption Algorithm Based on Chaotic Sequence
Discrimination Clues from Spectral Clustering
A New Dual Watermarking Based HVS Model
Multi-view Face Detection in Video
An Improved Approach for Simple Objects Detection and Image Segmentation
The Automatic Detection Technique ofAutomobile Lamp Part Based On Machine Vision
Forward-looking Scene Matching with RST Invariant Conformation Based on Fouder-melliIlTransform
Research on Chinese Character Confusion Network Algorithm for LVCSR
Knowledge-based Systems and Data Mining
A Research on Temporal-Spatial Information Fusion
The Applications of Dempster-Shafer Theory in Multiple Classifiers C0mbination
A Fuzzy Weighted Density-based Clustering Algorithm for Industrial Databases
Study on the Algorithm of Mining Frequent Pattern Based on Multi-Hash Chain Structure
Radar Signal Sorting Method Based on ICA Algorithm
A Manifold Generation Algorithm Based on Local Linear Space Partition
Unified DescriptiOn and Extension of Combination Rules in Evidence Reasoning Based on the Random Set Memod
Information Fusion:Using an Ontology tO Information Evaluation
Information and Knowledge Modehng for Product Design Based on Design Knowledge Repository
A Fast Incremental Learning Algorithm for SVM
Distributed Systems and Networks
Good Enough Security Is the Best Security
The Research and Design of an Agile Service Composition Approach Model
A New Digital Signature Scheme
MIMO Radar Target Portion Estimation Using Centralized Data Fusion
Kemel-Based Feature Fusion for Sensitive Information Filtering
Framework Design of CUWB System Integrating Cognitive Radio and UWB
The Research of Spam Filtering System Based on Latent Semantic Analysis and AIS
Research on Single-join Processing Schemes in a Mobile Computing Environment
Generative Language Model:From Text Retrieval to Named Entity Retrieval
An Efficient Implementation of Secure Hash Algorithm SHA-512
Algorithm Management in Information Fusion
Research on Trust Model in P2P Networks
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